SYSTEMS AND METHODS FOR IDENTIFYING A RISK OF PARTLY OVERRULED CONTENT BASED ON CITATIONALLY RELATED CONTENT

Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media that support identifying overruled in part content based on citationally related content. The most relevant passage, content, paragraph and the like, may be identified out of the citationally r...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Chinnappa, Dhivya Infant, Erickson, Diane Lynne, Denneson, Travis Jon, McElvain, Gayle
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media that support identifying overruled in part content based on citationally related content. The most relevant passage, content, paragraph and the like, may be identified out of the citationally related content by providing extracted features as input data to trained machine learning classifiers to generate probability values. A ranking approach may be used where the content or paragraphs of an opinion may be selected as most relevant based on the generated probability values. In some implementations, a machine learning modeling approach may be used for both the overruling side and the overruled side of the content by leveraging different features and the relationship between the overruling document and the overruled document.